Materials
Ongoing projects
From 07.2024 - now: Principal Investigator of the ExplainMe: "Explainable Artificial Intelligence for Monitoring Acoustic Features extracted from Speech" project
From 07.2024 - now: Lead Researcher of the Trustworthy AI for Healthcare Lab at the Systems Research Institute, Polish Academy of Sciences, Warsaw (Poland)
Previous projects
2022-2023: Principal Investigator of the BIPOLAR: Bipolar disorder prediction with sensor-based semi-supervised learning project aiming at development of new predictive sensor-based computational methods reflecting uncertain data.
2020-2023: Postdoc in NeuroSmog project aiming to assess whether long-term exposure to air pollution affects brain function, structure, and connectivity in both healthy children and in those diagnosed with ADHD.
Journal articles
Budzianowski, J., Kaczmarek-Majer, K., Rzeźniczak, J. et al. Machine learning model for predicting late recurrence of atrial fibrillation after catheter ablation. Sci Rep 13, 15213 (2023). https://doi.org/10.1038/s41598-023-42542-y
Gabriella Casalino, Giovanna Castellano, Olgierd Hryniewicz, Daniel Leite, Karol Opara, Weronika Radziszewska, and Katarzyna Kaczmarek-Majer. 2023. Semi–Supervised vs. Supervised Learning for Mental Health Monitoring: A Case Study on Bipolar Disorder. Int. J. Appl. Math. Comput. Sci. 33, 3 (Sep 2023), 419–428. DOI:10.34768/amcs-2023-0030
Compa, M., Baumbach, C., Kaczmarek-Majer, K., Buczyłowska, D., Gradys, G. O., Skotak, K., Degórska, A., Bratkowski, J., Wierzba-Łukaszyk, M., Mysak, Y., Sitnik-Warchulska, K., Lipowska, M., Izydorczyk, B., Grellier, J., Asanowicz, D., Markevych, I., & Szwed, M. (2023). Air pollution and attention in Polish schoolchildren with and without ADHD. The Science of the total environment, 892, 164759. https://doi.org/10.1016/j.scitotenv.2023.164759
Kasprzak, D., Kaczmarek-Majer, K., Rzeźniczak, J., Klamecka-Pohl, K., Ganowicz-Kaatz, T., Słomczyński, M., Budzianowski, J., Pieszko, K., Hiczkiewicz, J., Tykarski, A., & Burchardt, P. (2023). Cognitive Impairment in Cardiovascular Patients after Myocardial Infarction: Prospective Clinical Study. Journal of clinical medicine, 12(15), 4954. https://doi.org/10.3390/jcm12154954
K. Kaczmarek-Majer, G. Casalino, G. Castellano, O. Hryniewicz, M. Dominiak, Explaining smartphone-based acoustic data in~bipolar disorder: Semi-supervised fuzzy clustering and relative linguistic summaries, Information Sciences 588 (2022) 174 -- 195, DOI: 10.1016/j.ins.2021.12.049.
D. Kasprzak, J. Rzeźniczak, M. Słomczyński, K. Kaczmarek-Majer, T. Ganowicz, J. Budzianowski, K. Pieszko, J. Hiczkiewic, A. Tykarski, P. Burchardt, Cognitive Impairment in~patients after Myocardial Infarction. Kardiologia Polska (Polish Heart Journal) (2023)\\ DOI: 10.33963/KP.a2023.0056.
K. Kaczmarek-Majer, G. Casalino, G. Castellano, O. Hryniewicz, M. Dominiak, G. Vessio, N. Diaz Rodriquez PLENARY: Explaining black-box models in~natural language through fuzzy linguistic summaries, Information Sciences 614 (2022) 374 -- 399, DOI: 10.1016/j.ins.2022.10.010.
I. Markevych, N. Orlov, J. Grellier, K. Kaczmarek-Majer, M. Lipowska, K. Sitnik-Warchulska, Y. Mysak, C. Baumbach, M. Wierzba- Lukaszyk, M. Soomro, M. Compa, B. Izydorczyk, K. Skotak, A. Degórska, J. Bratkowski, B. Kossowski, A. Domagalik, M. Szwed, NeuroSmog: Determining the Impact of Air Pollution on the Developing Brain: Project Protocol. International Journal of Environmental Research and Public Health 19 (2022) \newline DOI: 10.3390/ijerph19010310.
M. Dominiak, K. Kaczmarek-Majer, A. Antosik-Wójcińska, K. Opara, A. Olwert, W. Radziszewska, O. Hryniewicz, L. Swiecicki, M. Wojnar, P. Mierzejewski Behavioural and Self-Reported Data Collected from Smartphones in~the Assessment of Depressive and Manic Symptoms for Bipolar Disorder Patients: Prospective Observational Study Journal of Medical Internet Research (2021) DOI: 10.2196/28647.
K. Opara, K. Brzeziński, M. Bukowicki, K. Kaczmarek-Majer Road roughness estimation through smartphone-measured acceleration. IEEE Intelligent Transportation Systems Magazine 14:2 (2021) 209 -- 220, \\DOI: 10.1109/MITS.2021.3049382.
O. Hryniewicz, K. Kaczmarek-Majer, K. Opara, Control Charts Based on Fuzzy Costs for Monitoring Short Autocorrelated Time Series. International Journal of Approximate Reasoning 114 (2019) 166 -- 181 \\ DOI: 10.1016/j.ijar.2019.08.013.
A. Antosik-Wójcińska, M. Dominiak, M., Chojnacka, K. Kaczmarek-Majer, K. Opara, W. Radziszewska, A. Olwert, Ł. Święcicki Smartphone as a~monitoring tool for bipolar disorder: a~systematic review including data analysis, machine learning algorithms and predictive modelling. International Journal of Medical Informatics 138:04131 (2020) DOI: 10.1016/j.ijmedinf.2020.104131.
K. Kaczmarek-Majer, O. Hryniewicz, Application of linguistic summarization methods in~time series forecasting. Information Sciences 478 (2019) 580 -- 594, DOI: 10.1016/j.ins.2018.11.036.
O. Hryniewicz, K. Kaczmarek-Majer Bayesian Analysis of Time Series using Granular Computing Approach. Applied Soft Computing 47 (2016) 644 -- 652, DOI: 10.1016/j.asoc.2014.11.024.
Hryniewicz, O. and Kaczmarek-Majer, K.} (2018) Monitoring of non-stationary health-recovery processes with control charts, International Journal On Advances in~Life Sciences.
O. Hryniewicz, K. Kaczmarek-Majer Monitoring of non-stationary health- recovery processes with control charts, International Journal On Advances in Life Sciences 10 (2018) 31 -- 41, ISSN: 1942-2660.
O. Hryniewicz, K. Kaczmarek}, P. Nowak (2015) Bayes statistical decisions with random fuzzy data – an application for the Weibull distribution. Eksploatacja i~niezawodność – maintenance and reliability 2015; 17 (4), 610 -- 616.
Book chapters and articles in conference proceedings
Kmita, K., Kaczmarek-Majer, K., Hryniewicz, O. (2023). Classification Error in Semi-Supervised Fuzzy C-Means. In: Massanet, S., Montes, S., Ruiz-Aguilera, D., González-Hidalgo, M. (eds) Fuzzy Logic and Technology, and Aggregation Operators. EUSFLAT AGOP 2023 2023. Lecture Notes in Computer Science, vol 14069. Springer, Cham. https://doi.org/10.1007/978-3-031-39965-7_60
Gabriella Casalino, Giovanna Castellano, Katarzyna Kaczmarek-Majer, Daniel Leite (2023) Online Learning from Uncertain Data Streams: Editorial, in~{{Proceedings of the First Workshop on Online Learning from Uncertain Data Streams (OLUD 2022)}} co-located with IEEE World Congress on Computational Intelligence (WCCI 2022)
Kaczmarek-Majer, K.}, Rutkowska, A., Hryniewicz, O., (2023) Evolving Membership Functions in~Fuzzy Linguistic Summarization, in~{{Proceedings of the First Workshop on Online Learning from Uncertain Data Streams (OLUD 2022)}} co-located with IEEE World Congress on Computational Intelligence (WCCI 2022)
M. Fraszczyk, K. Kaczmarek-Majer, O. Hryniewicz, K. Skotak, A. Degórska (2022) Expert-in-the-loop Stepwise Regression and its Application in~Air Pollution Modeling, 2022 IEEE 11th International Conference on Intelligent Systems (IS), Warsaw, Poland, 2022, DOI: 10.1109/IS57118.2022.10019609.
K. Kaczmarek-Majer, K.}, G. Casalino, G. Castellano, O. Hryniewicz, D. Leite Fuzzy linguistic summaries for explaining semi-supervised learning of stream data, 2022 IEEE 11th International Conference on Intelligent Systems (IS), Warsaw, Poland, 2022, DOI: 10.1109/IS57118.2022.10019636.
K. Kmita, K. Kaczmarek-Majer, O. Hryniewicz (2022) Learning control limits for monitoring of multiple processes with neural network W: Building Bridges between Soft and Statistical Methodologies for Data Science. SMPS 2022. Advances in~Intelligent Systems and Computing 1433. Springer, Cham. DOI: 10.1007/978-3-031-15509-3\_32.
O. Hryniewicz, K. Kaczmarek-Majer, Monitoring of Possibilisticaly Aggregated Complex Time Series, W: L.A. Garcia-Escudero, A. Gordaliza, A. Mayo, M.A. Lubiano, M.A. Gil, P.W. Grzegorzewski, O. Hryniewicz (eds.), Building Bridges between Soft and Statistical Methodologies for Data Science, Springer, Advances in~Intelligent Systems and Computing 1433 (2023) 208 -- 215, DOI: 10.1007/978-3-031-15509-3\_28.
Kamińska, O., Kaczmarek-Majer, K.}, Hryniewicz O. (2022) Impact of clustering of unlabeled data on classification: case study in~bipolar disorder, 17th Conference on Computer Science and Intelligence Systems (FedCSIS), 2022 17th Conference on Computer Science and Intelligence Systems (FedCSIS), Sofia, Bulgaria, 2022, pp. 931 -- 934, DOI: 10.15439/2022F210.
K. Kmita, G. Casalino, G. Castellano, O. Hryniewicz, K. Kaczmarek-Majer, Confidence path regularization for handling label uncertainty in semi-supervised learning: use case in bipolar disorder monitoring, W: 2022 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), Padua, Italy, 2022, pp. 1 -- 8, DOI: 10.1109/FUZZ-IEEE55066.2022.9882759 [Best paper award!]
K. Kaczmarek-Majer, A. Kiersztyn, \emph{Experimental evaluation of the accuracy of an ensemble of fuzzy methods for classification of episodes in~bipolar disorder}}, W: Proceedings of IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), IEEE 2022, DOI: 10.1109/FUZZ-IEEE55066.2022.9882582
O. Hryniewicz, K. Kaczmarek-Majer, ossibilistic aggregation of inhomogeneous streams of data, W: 2021 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), Luxembourg, Luxembourg, 2021, pp. 1 -- 6, \\DOI: 10.1109/FUZZ45933.2021.9494583.
G. Casalino, G. Castellano, K. Kaczmarek-Majer, O. Hryniewicz, Intelligent analysis of data streams about phone calls for bipolar disorder monitoring, W: 2021 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), Luxembourg, Luxembourg, 2021, pp. 1 -- 6, \\DOI: 10.1109/FUZZ45933.2021.9494512.
K. Kaczmarek-Majer, O. Hryniewicz, D. Kornobis, A. Stachowiak, Monitoring acoustic data streams using possibilistic aggregation and multi-label learning, W: Proceedings of the 12th Conference of the European Society for Fuzzy Logic and Technology (EUSFLAT-21), 2021, DOI: 10.2991/asum.k.210827.072.
O. Hryniewicz, {K. Kaczmarek-Majer}, K. Opara. MAV Control Charts for Monitoring Two-State Processes Using Indirectly Observed Binary Data. W: Knoth, S., Schmid, W. (eds) Frontiers in~Statistical Quality Control 13. ISQC 2019. Frontiers in~Statistical Quality Control. Springer, Cham, DOI: 10.1007/978-3-030-67856-2\_8.
K. Kaczmarek-Majer, O. Hryniewicz, K. Opara, W. Radziszewska, A. Olwert, J. Owsiński, S. Zadrożny, Control Charts Designed Using Model Averaging Approach for Phase Change Detection in Bipolar Disorder, W: Destercke S., Denoeux T., Gil M., Grzegorzewski P., Hryniewicz O. (Eds) Uncertainty Modelling in Data Science. SMPS 2018. Advances in Intelligent Systems and Computing 832. Springer 2019, 115 -- 123 DOI: 10.1007/978-3-319-97547-4\_16.
G. Casalino, G. Castellano, F. Galetta, K. Kaczmarek-Majer (2020) Dynamic incremental semi-supervised fuzzy clustering for bipolar disorder episode prediction, : In: Appice, A., Tsoumakas, G., Manolopoulos, Y., Matwin, S. (eds) Discovery Science. DS 2020. Lecture Notes in~Computer Science(), vol 12323. Springer, Cham. https://doi.org/10.1007/978-3-030-61527-7\_6.
O. Kamińska, K. Kaczmarek-Majer, O. Hryniewicz Acoustic feature selection with fuzzy clustering, self organizing maps and psychiatric assessments, W:Information Processing and Management of Uncertainty in~Knowledge-Based Systems. IPMU 2020. Communications in~Computer and Information Science 1237. Springer 2020, Cham. DOI: 10.1007/978-3-030-50146-4\_26.
O. Hryniewicz, K. Kaczmarek-Majer (2019) Monitoring Series of Dependent Observations Using the sXWAM Control Chart for Residuals W: Grzegorzewski, P., Kochanski, A., Kacprzyk, J. (eds) Soft Modeling in~Industrial Manufacturing. Studies in~Systems, Decision and Control, vol 183. Springer 2019, Cham. DOI: 10.1007/978-3-030-03201-2\_9.
O. Kamińska, K. Kaczmarek-Majer, K. Opara, W. Jakuczun, M. Dominiak, A. Antosik-Wójcińska, Ł. Święcicki, O. Hryniewicz, Self-organizing maps using acoustic features for prediction of state change in~bipolar disorder. W: Intelligence in~Medicine: Knowledge Representation and Transparent and Explainable Systems. KR4HC 2019, TEAAM 2019. Lecture Notes in~Computer Science 11979. Springer DOI: 10.1007/978-3-030-37446-4\_12.
K. Kaczmarek-Majer, O. Hryniewicz, M. Dominiak, Ł. Święcicki, Personalized linguistic summaries in~smartphone-based monitoring of bipolar disorder patients, W: Proceedings of the Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology (EUSFLAT 2019), Atlantis Press 2019, DOI: 10.2991/eusflat-19.2019.56.
O. Hryniewicz, K. Kaczmarek-Majer, Monitoring of short series of dependent observations using a~XWAM control chart W: Frontiers of Statistical Quality Control, Springer 2018, DOI: 10.1007/978-3-319-75295-2\_13.
M. Bartkowiak, K. Kaczmarek-Majer, A. Rutkowska, O. Hryniewicz, Model Averaging Approach to Forecasting the General Level of Mortality, W: Proceedings of Information Processing and Management of Uncertainty in~Knowledge-Based Systems. Theory and Foundations: 17th International Conference, IPMU 2018
K. Kaczmarek-Majer, O. Hryniewicz, Data-mining Approach to Finding Weights in~the Model Averaging for Forecasting of Short Time Series, W: J. Kacprzyk, E. Szmidt, S. Zadrożny, K. Atanassov, M. Krawczak (eds) Advances in~Fuzzy Logic and Technology 2017. EUSFLAT IWIFSGN 2017 2017. Advances in~Intelligent Systems and Computing 642. Springer, Cham. DOI: 10.1007/978-3-319-66824-6\_28.
Kaczmarek, K.} and Hryniewicz, O (2015). Time Series Classification with Linguistic Summaries. Proc. of the 16th World Congress of the International Fuzzy Systems Association (IFSA) and the 9th Conference of the European Society for Fuzzy Logic and Technology (EUSFLAT), Atlantis Press, pp. 471 -- 477, DOI:10.2991/ifsa-eusflat-15.2015.68.
K. Kaczmarek}, O. Hryniewicz, R. Kruse, Human Input about Linguistic Summaries in~Time Series Forecasting, W: Proceedings of The Eighth International Conference on Advances in~Computer-Human Interactions (ACHI), IARIA 2016, pp. 9 -- 14, ISBN: 978-1-61208-382-7. [Best paper award!]
O. Hryniewicz, K. Kaczmarek} Forecasting Short Time Series with the Bayesian Autoregression and the Soft Computing Prior Information. W: In: Grzegorzewski, P., Gagolewski, M., Hryniewicz, O., Gil, M. (eds) Strengthening Links Between Data Analysis and Soft Computing. Advances in~Intelligent Systems and Computing 315, Springer 2015, Cham. DOI: 10.1007/978-3-319-10765-3\_10
K. Kaczmarek}, O. Hryniewicz, Linguistic Knowledge about Temporal Data in~Bayesian Linear Regression Model to Support Forecasting of Time Series. W: 2013 Federated Conference on Computer Science and Information Systems, Kraków, Poland, 2013, pp. 651 -- 654. [Best paper award!]